Key information about India Employed Persons

• India Employed Persons was reported at 470,495,536.230 Person in Dec 2021
• It recorded an increase from the previous number of 447,183,819.730 Person for Dec 2020
• India Employed Persons data is updated yearly, averaging 384,395,378.330 Person from Dec 1970 to 2021, with 52 observations
• The data reached an all-time high of 485,507,600.000 Person in 2019 and a record low of 209,275,793.440 Person in 1970
• India Employed Persons data remains active status in CEIC and is reported by CEIC Data
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: Employed Persons: Annual: Asia

Description:

This comprehensive dataset provides a historical overview of India's key statistical indicators across multiple domains. The data has been sourced from https://www.macrotrends.net, which aggregates information from reputable sources like the United Nations (UN), World Bank, and other authoritative organizations.

Contents:

1. Population: Demographic data including population size, growth rates, and age distribution.
2. Economy: Economic indicators such as GDP, GDP per capita, inflation rates, and employment figures.
3. Trade: Information on imports, exports, trade balances, and international trade partnerships.
4. Health: Health-related statistics encompassing life expectancy, disease prevalence, and healthcare infrastructure.
5. Education: Educational metrics including literacy rates, school enrollment, and education expenditure.
6. Development: Human development indices, poverty rates, and access to basic amenities.
7. Labor Force: Labor market statistics comprising employment rates, workforce composition, and wage trends.
8. Environment: Environmental data covering factors like carbon emissions, pollution, and natural resource usage.
9. Crime: Crime rates and trends, including various types of criminal activities.
10. Immigration: Information on immigration patterns, citizenship, and foreign-born populations.
11. Other: Miscellaneous data on various aspects of India's socio-economic landscape.

Disclaimer and Terms of Use:

The historical data provided in this dataset is intended solely for informational purposes and is not meant for trading purposes or as financial advice. Neither Macrotrends LLC nor any of our information providers will be liable for any damages relating to your use of the data provided. Users are encouraged to verify the data's accuracy and refer to the original sources for any critical decisions or analyses.

Employment Rate in India remained unchanged at 47.20 percent in the fourth quarter of 2024 from 47.20 percent in the third quarter of 2024. This dataset provides - India Worker Population Ratio- actual values, historical data, forecast, chart, statistics, economic calendar and news.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in Indian Beach. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2021

Based on our analysis ACS 2017-2021 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In Indian Beach, the median income for all workers aged 15 years and older, regardless of work hours, was $54,046 for males and $24,321 for females.

These income figures highlight a substantial gender-based income gap in Indian Beach. Women, regardless of work hours, earn 45 cents for each dollar earned by men. This significant gender pay gap, approximately 55%, underscores concerning gender-based income inequality in the town of Indian Beach.

As income data for both males and females was unavailable, conducting a comprehensive analysis of gender-based pay disparity in the town of Indian Beach was not possible.

https://i.neilsberg.com/ch/indian-beach-nc-income-by-gender.jpeg" alt="Indian Beach, NC gender based income disparity">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2022
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Beach median household income by gender. You can refer the same here

Unemployment Rate in India decreased to 7.90 percent in February from 8.20 percent in January of 2025. This dataset provides - India Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

With over 17 million businesses, all held in-house, BoldData has the largest supply of Indian data. We can select your perfect target based on numerous interesting selections: from 3,000 industries to region, turnover, sector, contact person and the number of employees.

Other questions or are you looking for another city or country? Our data experts are specialized in supervising international campaigns. We have specific direct marketing knowledge per country and have highly accurate data of 300 million companies in 150+ countries. Contact us for free tailor-made advice and an independent quote.

India is the most populous country in the world with one-sixth of the world's population. According to official estimates in 2022, India's population stood at over 1.42 billion.

This dataset contains the population distribution by state, gender, sex & region.

The file is in .csv format thus it is accessible everywhere.

India Part Time Employment: % of Total Employment data was reported at 23.990 % in 2023. This records an increase from the previous number of 20.850 % for 2022. India Part Time Employment: % of Total Employment data is updated yearly, averaging 18.080 % from Dec 2018 (Median) to 2023, with 6 observations. The data reached an all-time high of 23.990 % in 2023 and a record low of 14.440 % in 2019. India Part Time Employment: % of Total Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Employment and Unemployment. Part time employment refers to regular employment in which working time is substantially less than normal. Definitions of part time employment differ by country.;International Labour Organization. “Wages and Working Time Statistics database (COND)” ILOSTAT. Accessed January 07, 2025. https://ilostat.ilo.org/data/.;Weighted average;Relevance to gender indicator: More and more women are working part-time and one of the concern is that part time work does not provide the stability that full time work does.

Social media platforms have become integral tools in the conduct of foreign policy for many nations, including India. This dataset serves as a resource for analyzing ‘Social Media and India’s Foreign Policy: The Case Study of ‘X’ Diplomacy during the Covid-19 Pandemic.’ The data were collected through a web-based questionnaire distributed primarily to people aged 18 – 61 and above in India. A total of 171 valid data were collected from 17 states offering extensive geographic coverage and stored in Mendeley. The 15 contributor states are Goa, Maharashtra, Tamil Nadu, Gujarat, Delhi, Assam, Haryana, Jammu and Kashmir, Karnataka, Kerala, Punjab, Rajasthan, Tripura, Uttar Pradesh and West Bengal. It encompasses diverse question formats, including single-choice, multiple-choice, quizzes, and open-ended. The study underscores the opportunities and challenges of employing 'X' diplomacy in India's foreign policy. Thus, there were two hypotheses. First, India's effective use of 'X' diplomacy positively impacts public perception of India's foreign policy effectiveness. Second, India's adept use of 'X' diplomacy during the COVID-19 pandemic enhances its ability to manage and respond to the crisis effectively. This data shows public perception of the effective use of social media by the Government of India, particularly in the crisis situation. Data also highlight the significant change in India’s narrative through its ‘X’ diplomacy, effectively setting the narratives, public perceptions, and diplomatic strategies. This data can be fully utilized in the study of the significance of social media in India’s foreign policy, the role of social media like ‘X’ in the making of India’s foreign policy, how effective social media like ‘X’ was during the Covid-19 pandemic and how Indian government utilized social media like ‘X’ to delivered messages and to set the narrative in the international politics.

India Employment: Private Sector: 25 or More Workers data was reported at 10,721.000 Person th in 2012. This records an increase from the previous number of 10,273.000 Person th for 2011. India Employment: Private Sector: 25 or More Workers data is updated yearly, averaging 7,489.100 Person th from Mar 1984 (Median) to 2012, with 29 observations. The data reached an all-time high of 10,721.000 Person th in 2012 and a record low of 6,479.000 Person th in 1985. India Employment: Private Sector: 25 or More Workers data remains active status in CEIC and is reported by Central Statistics Office. The data is categorized under Global Database’s India – Table IN.GBA001: Employment.

Self-employed, total (% of total employment) (modeled ILO estimate) in India was reported at 76.13 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Self-employed; total (% of total employed) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

About this dataset

Context

The dataset tabulates the Indian Wells population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Indian Wells. The dataset can be utilized to understand the population distribution of Indian Wells by age. For example, using this dataset, we can identify the largest age group in Indian Wells.

Key observations

The largest age group in Indian Wells, CA was for the group of age 55-59 years with a population of 708 (14.67%), according to the 2021 American Community Survey. At the same time, the smallest age group in Indian Wells, CA was the 0-4 years with a population of 39 (0.81%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Indian Wells is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Indian Wells total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Wells Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the median household income in Indian Village. It can be utilized to understand the trend in median household income and to analyze the income distribution in Indian Village by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Indian Village, IN Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Indian Village, IN: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Indian Village, IN
• Indian Village, IN households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Indian Village median household income. You can refer the same here

Graph and download economic data for Employment to Population Ratio for India (SLEMPTOTLSPZSIND) from 1991 to 2024 about employment-population ratio, India, employment, and population.

IHIS: Average Number of Employees per Hotel: Independent Hotels: Managers: Female data was reported at 0.900 Person in 2018. This records a decrease from the previous number of 1.000 Person for 2017. IHIS: Average Number of Employees per Hotel: Independent Hotels: Managers: Female data is updated yearly, averaging 0.900 Person from Mar 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 1.500 Person in 2005 and a record low of 0.500 Person in 2001. IHIS: Average Number of Employees per Hotel: Independent Hotels: Managers: Female data remains active status in CEIC and is reported by Federation of Hotel & Restaurant Associations of India. The data is categorized under India Premium Database’s Hotel Sector – Table IN.QHE001: Indian Hotel Industry Survey: Average Number of Employees per Hotel.

About this dataset

Context

The dataset tabulates the population of Ontario by race. It includes the population of Ontario across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Ontario across relevant racial categories.

Key observations

The percent distribution of Ontario population by race (across all racial categories recognized by the U.S. Census Bureau): 74.40% are white, 0.23% are Black or African American, 2.61% are American Indian and Alaska Native, 1.40% are Asian, 3.70% are some other race and 17.67% are multiracial.

https://i.neilsberg.com/ch/ontario-or-population-by-race.jpeg" alt="Ontario population by race">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Ontario
• Population: The population of the racial category (excluding ethnicity) in the Ontario is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Ontario total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Ontario Population by Race & Ethnicity. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Indian Beach by race. It includes the population of Indian Beach across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Indian Beach across relevant racial categories.

Key observations

The percent distribution of Indian Beach population by race (across all racial categories recognized by the U.S. Census Bureau): 98.22% are white, 1.33% are Black or African American and 0.44% are some other race.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Indian Beach
• Population: The population of the racial category (excluding ethnicity) in the Indian Beach is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Indian Beach total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Beach Population by Race & Ethnicity. You can refer the same here

Employment Rate in India - values from PLFS and UNDP for male, female, rural, urban, and comparison with global peers.

About this dataset

Context

The dataset tabulates the Indian Shores population over the last 20 plus years. It lists the population for each year, along with the year on year change in population, as well as the change in percentage terms for each year. The dataset can be utilized to understand the population change of Indian Shores across the last two decades. For example, using this dataset, we can identify if the population is declining or increasing. If there is a change, when the population peaked, or if it is still growing and has not reached its peak. We can also compare the trend with the overall trend of United States population over the same period of time.

Key observations

In 2023, the population of Indian Shores was 1,192, a 0.50% decrease year-by-year from 2022. Previously, in 2022, Indian Shores population was 1,198, a decline of 0.17% compared to a population of 1,200 in 2021. Over the last 20 plus years, between 2000 and 2023, population of Indian Shores decreased by 511. In this period, the peak population was 1,777 in the year 2004. The numbers suggest that the population has already reached its peak and is showing a trend of decline. Source: U.S. Census Bureau Population Estimates Program (PEP).

Content

When available, the data consists of estimates from the U.S. Census Bureau Population Estimates Program (PEP).

Data Coverage:

• From 2000 to 2023

Variables / Data Columns

• Year: This column displays the data year (Measured annually and for years 2000 to 2023)
• Population: The population for the specific year for the Indian Shores is shown in this column.
• Year on Year Change: This column displays the change in Indian Shores population for each year compared to the previous year.
• Change in Percent: This column displays the year on year change as a percentage. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Indian Shores Population by Year. You can refer the same here